Joao Palotti | Hamad Bin Khalifa University
Hamad Bin Khalifa University


Dr. Joao Palotti

Dr. Joao Palotti (PhD)

Research Scientist
Qatar Computing Research Institute QCRI


Joao Palotti is a Research Scientist at Qatar Computing Research Institute. With over a decade of conducting applied machine learning research, his research portfolio includes natural language processing and time series analysis. His current interests lie in the intersection of machine learning and digital health. In particular, he focuses on sleep science, user behavior modeling, and exploring the usage of wearables in health interventions.


Research Interests

  • Machine Learning
  • Digital Health
  • Wearables
  • Sleep Science


Research Scientist

Qatar Computing Research Institute, Qatar

2020 - Present
  • Post Doctoral Researcher

    Massachusetts Institute of Technology, USA

    2019 - 2020
  • Research Associate

    Qatar Computing Research Institute, Qatar

    2018 - 2019
  • Visiting Professor

    Carnegie Mellon University In Qatar

    2017 - 2017
  • Research Associate

    Vienna University of Technology

    2012 - 2017



Vienna University of Technology, Austria

  • MSc

    Universidade Federal de Minas Gerais, ​Brazil

  • BSc

    Universidade Federal de Minas Gerais, ​Brazil


Selected Publications

  • Ignacio Perez-Pozuelo, Bing Zhai, Joao Palotti, Raghvendra Mall, Michaël Aupetit, Juan M Garcia-Gomez, Shahrad Taheri, Yu Guan, Luis Fernandez-Luque

    The future of sleep health: a data-driven revolution in sleep science and medicine; NPJ digital medicine;

  • Joao Palotti, Raghvendra Mall, Michael Aupetit, Michael Rueschman, Meghna Singh, Aarti Sathyanarayana, Shahrad Taheri, Luis Fernandez-Luque

    Benchmark on a large cohort for sleep-wake classification with machine learning techniques; NPJ digital medicine;

  • Bing Zhai, Ignacio Perez-Pozuelo, Emma AD Clifton, Joao Palotti, Yu Guan

    Making sense of sleep: Multimodal sleep stage classification in a large, diverse population using movement and cardiac sensing; Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;